DeepSeek 新模型在 OpenAI 自家的 GDPval 基准上把开源和中国模型都拿了第一，还比同分模型快，数据点很硬。
GDPval 是 OpenAI 发布的一项经济价值任务基准。推文称 OpenAI 模型在该基准上表现不佳，而 DeepSeek 新模型在其上位居中国模型、开源模型和速度三类榜单之首，呈帕累托占优。该推文来自 X 用户 teortaxesTex。
Why are OpenAI models so bad on GDPval? Absurd. Anyway, new DeepSeek is crushingly the best Chinese model, open model, and fast model here. Pareto-dominant. https://t.co/japJ5ahHff
一个搞安全的推友观察到：找漏洞 DeepSeek 和 Opus 打平，但修老系统还得靠 Opus，聊聊算力怎么分配。
DeepSeek 和 MiniMax 完成了新出口规定的备案，之后照常开源。想搞懂开源出海要不要备案的可以看看。
有人发现好几个团队都选了 Hermes 微调加 DeepSeek 底座这条路，趋同到发推调侃，做开源微调的可以看看。
The 4x growth in six months signals how quickly inference demand in China is scaling, and the DeepSeek efficiency figure — 155 trillion tokens daily off one ~5MW cluster — is a concrete benchmark for anyone modelling serving costs. Teams tracking compute infrastructure and API pricing across China and Southeast Asia can use these numbers to benchmark capacity planning.
The naming scheme doubles as a public research roadmap: each version number corresponds to a research question the lab pre-announces in its papers, so version bumps signal direction more than commercial marketing. Practitioners picking between checkpoints can read decimals and dates to judge how much actually changed before spending tokens. The analysis also suggests DeepSeek's reasoning line may fold into the mainline releases, which affects how developers compare it with OpenAI's o-series and other frontier models.
DeepSeek 和 MiniMax 的模型获准部署海外，央视还确认大部分国产模型继续自由出口，做出海或选型的可以看下。
